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This book presents the current trends, technologies, and challenges
in Big Data in the diversified field of engineering and sciences.
It covers the applications of Big Data ranging from conventional
fields of mechanical engineering, civil engineering to electronics,
electrical, and computer science to areas in pharmaceutical and
biological sciences. This book consists of contributions from
various authors from all sectors of academia and industries,
demonstrating the imperative application of Big Data for the
decision-making process in sectors where the volume, variety, and
velocity of information keep increasing. The book is a useful
reference for graduate students, researchers and scientists
interested in exploring the potential of Big Data in the
application of engineering areas.
This book presents the current trends, technologies, and challenges
in Big Data in the diversified field of engineering and sciences.
It covers the applications of Big Data ranging from conventional
fields of mechanical engineering, civil engineering to electronics,
electrical, and computer science to areas in pharmaceutical and
biological sciences. This book consists of contributions from
various authors from all sectors of academia and industries,
demonstrating the imperative application of Big Data for the
decision-making process in sectors where the volume, variety, and
velocity of information keep increasing. The book is a useful
reference for graduate students, researchers and scientists
interested in exploring the potential of Big Data in the
application of engineering areas.
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